Correlation Between German American and National Bank
Can any of the company-specific risk be diversified away by investing in both German American and National Bank at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining German American and National Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between German American Bancorp and National Bank Holdings, you can compare the effects of market volatilities on German American and National Bank and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in German American with a short position of National Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of German American and National Bank.
Diversification Opportunities for German American and National Bank
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between German and National is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding German American Bancorp and National Bank Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Bank Holdings and German American is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on German American Bancorp are associated (or correlated) with National Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Bank Holdings has no effect on the direction of German American i.e., German American and National Bank go up and down completely randomly.
Pair Corralation between German American and National Bank
Given the investment horizon of 90 days German American Bancorp is expected to generate 0.85 times more return on investment than National Bank. However, German American Bancorp is 1.17 times less risky than National Bank. It trades about 0.04 of its potential returns per unit of risk. National Bank Holdings is currently generating about 0.03 per unit of risk. If you would invest 3,589 in German American Bancorp on August 24, 2024 and sell it today you would earn a total of 1,007 from holding German American Bancorp or generate 28.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
German American Bancorp vs. National Bank Holdings
Performance |
Timeline |
German American Bancorp |
National Bank Holdings |
German American and National Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with German American and National Bank
The main advantage of trading using opposite German American and National Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if German American position performs unexpectedly, National Bank can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in National Bank will offset losses from the drop in National Bank's long position.German American vs. Lakeland Financial | German American vs. Great Southern Bancorp | German American vs. First Merchants | German American vs. First Financial |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
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